Who was in, and where
Intelligent Attendance records clock-in from web, mobile or biometric, manages shifts and rosters, handles regularisation and overtime against policy, and exports straight to payroll.
- 0Module Groups
- 0Role Portals
- 0Marking Methods
- 0Payroll Export
What it replaces
The three things we find almost every time before this goes in.
at the gate
Paper attendance that has to be typed into a spreadsheet before payroll can run.
at month end
Overtime and absence argued from memory because nothing was recorded at the time.
to field staff
Teams working away from a site marked present on trust, with no record either way.
Configured for how you actually work
Office
Fixed shifts where the question is punctuality and leave, not location.
Field & site
Staff who start at a site rather than an office, marked with location.
Shift operations
Rotating rosters, night shifts and overtime that has to be calculated correctly.
Multi-location
Several sites with different shift patterns rolling into one payroll.
Recorded once, trusted by payroll
The point of an attendance system is that nobody re-enters it. What the employee marks is what the manager approves and what payroll pays.
- HRMuster across all locations, regularisations and payroll export.
- ManagerTheir team's attendance, approvals and overtime.
- EmployeeTheir own clock-ins, corrections and monthly summary.
- Security / gateEntry and exit marking at the site.
4 module groups, one record
Marking
- Clock in and out from web or mobile
- Biometric and device integration
- Location marking for field staff
- Bulk marking for site teams
Shifts & rosters
- Shift definitions and rotation patterns
- Roster planning per location
- Week-off and holiday handling
Exceptions
- Regularisation requests with approval
- Late, early-exit and half-day rules
- Overtime calculated against policy
Output
- Monthly muster per location
- Payroll-ready export
- Attendance summary per employee
See it on your own numbers
Tell us how you run this today. We'll configure a demo on your own structure rather than a sample dataset, so you can judge it properly.
What's Happening
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Insights For You
Perspectives and best practices around intelligent attendance
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